How an IT Leader Turned 40 Years of Systems Thinking Into Better Workflows

Season 1 Episode 35

In this episode of How I AI, I sit down with Colette Mason, a collaborative AI consultant with over 40 years of real-world systems experience across investment banking, the UK government, and large-scale public infrastructure. Today, she helps business owners build AI teammates that actually support their brains instead of overwhelm them.

Colette brings a grounded, human-first lens to AI. We talk about her seven AI user archetypes, how your personality might be sabotaging your own AI results, and why training your assistant beats writing long prompts every time. She also shares the tools, frameworks, and mindset shifts she uses to help founders save thousands, streamline their workflows, and make better decisions with AI as a co-pilot.

Topics We Cover:

The 7 AI User Types That Sabotage Their Own Success (Which One Are You?)
Juggler, Warrior, Visionary, Tweaker, Hermit, Escapist, Architect
Why training your assistant beats starting from scratch with every prompt
How AI can help you finish tasks instead of multiplying half-done projects
Why over-automation burns founders out and when to DIY vs. hire help
Real case studies: saving 130k for a government team, replacing a 99-pound monthly tool in a day, and supporting a trauma specialist’s full PR breakthrough
Colette’s honest take on ChatGPT, Claude, Gemini, and when to use what
A behind-the-scenes look at Sheldon, her AI assistant, and how she builds personalized agents for clients
The PR tools she actually uses: NewsPage Media and Lightbulb PR

Resources Mentioned:

The 7 AI User Types Quiz
NewsPage Media
Lightbulb PR
OpenAI Prompt Optimizer
Sheldon (Colette’s AI assistant)

Connect with Colette:
Website: cleverclogsai.com
Substack: cleverclogsai.substack.com
LinkedIn: Colette Mason

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More About Brooke:

Website: brookex.com

LinkedIn: Brooke Gramer

More About the Podcast:

Instagram: howiai.podcast

Website: howiaipodcast.com

Published on 3 weeks, 1 day ago

Podcast Episode Details

How an IT Leader Turned 40 Years of Systems Thinking Into Better Workflows